深度学习课程
Deep Learning 课程可以帮助您学习神经网络、卷积网络和 Neural Network，以及它们在图像识别和自然语言处理中的应用。您可以掌握模型训练、超参数调整和性能评估方面的技能，这些技能对于开发有效的 AI 解决方案至关重要。许多课程都会介绍 TensorFlow 和 PyTorch 等工具，让您可以实现算法和优化模型，使您的学习体验与当前的行业实践密切相关。
热门 Deep Learning 课程和认证
状态：免费试用多位教师
您将获得的技能: 人工智能, 决策树学习, 张力流, 预测建模, 模型评估, 随机森林算法, 强化学习, 深度学习, 应用机器学习, 机器学习, 无监督学习, Jupyter, 监督学习, Scikit-learn （机器学习库）, NumPy, 分类算法, 功能工程, 数据预处理, 数据伦理, 迁移学习
状态：免费试用MathWorks
您将获得的技能: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
状态：免费试用Illinois Tech
您将获得的技能: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Network Architecture, Computer Vision, Natural Language Processing, Model Deployment, Model Evaluation
状态：新状态：免费试用您将获得的技能: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
状态：免费试用您将获得的技能: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
状态：新状态：免费试用您将获得的技能: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib
是什么让您今天来到 Coursera？
状态：免费试用Imperial College London
您将获得的技能: 应用数学, 统计, 机器学习算法, 衍生产品, Python 程序设计, NumPy, 人工神经网络, 降维, 回归分析, 线性代数, 微积分, Algorithm, 功能工程, Jupyter, 无监督学习, 高等数学, 数学建模, 数据预处理
状态：免费试用IBM
您将获得的技能: 负责任的人工智能, 风险缓解, 机器人, 自然语言处理, 生成式人工智能, 业务逻辑
状态：预览DeepLearning.AI
您将获得的技能: 人工智能, 负责任的人工智能, 深度学习, AI 赋能, 人工神经网络, AI 产品战略, 数据伦理, 机器学习, 数据科学
状态：免费试用MathWorks
您将获得的技能: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Matlab, Data Preprocessing, Data Visualization, Transfer Learning, Applied Machine Learning, Data Analysis
状态：免费试用您将获得的技能: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning
状态：免费试用状态：人工智能技能IBM
您将获得的技能: 数据可视化软件, SQL, 模型评估, 数据导入/导出, Plotly, 数据扫盲, 专业网络, 数据分析, 数据操作, 无监督学习, 生成式人工智能, Jupyter, 交互式数据可视化, 仪表板, 数据清理, 探索性数据分析, 数据挖掘, 数据可视化, 监督学习, 数据转换
与 deep learning 相关的搜索
总之，以下是 10 最受欢迎的 deep learning 课程
- 机器学习: DeepLearning.AI
- Deep Learning for Computer Vision: MathWorks
- Deep Learning: Illinois Tech
- Deep Learning with Python: CNN, ANN & RNN: EDUCBA
- Deep Learning with Real-World Projects: Packt
- Keras Deep Learning Projects with TensorFlow: EDUCBA
- 机器学习数学: Imperial College London
- 人工智能 (AI) 概论: IBM
- 适用于所有人的人工智能课程: DeepLearning.AI
- Deep Learning for Object Detection: MathWorks
